Insuring Generative AI:
Risks and Mitigation Strategies
Balancing creativity and responsibility to enable adoption
With the launch of ChatGPT and GPT4 in late 2022 and early 2023, respectively, consumer generative AI (GenAI) tools have captured the public's attention, although they have intrigued experts for years. They are now the talk of the town, as in particular text and image generation by GenAI is producing quite astonishing results.
But what risk management considerations do decision-makers need to make for GenAI use cases? We will answer this question thoroughly in this new whitepaper. After a brief introduction to GenAI, we share our thoughts on the new risks that GenAI poses compared to other types of AI models - and present a risk management recipe on how to assess, evaluate and insure against some of these risks.Download the whitepaper after providing your contact information.
Executive SummaryRisk management is an increasingly critical factor for AI providers on their growth path. To succeed, they need to increase customer trust in their AI solutions. To this end, Munich Re offers aiSureTM, a performance-guarantee insurance to cover the performance of AI solutions and protect against losses caused by inadequate or unreliable AI solutions. To ensure that only reliable products obtain coverage, AI solutions must undergo Munich Re’s thorough technical due diligence.
Our whitepaper describes the technical due diligence process and the criteria we apply.